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IJCNN
2000
IEEE
14 years 2 months ago
Continuous Optimization of Hyper-Parameters
Many machine learning algorithms can be formulated as the minimization of a training criterion which involves (1) \training errors" on each training example and (2) some hype...
Yoshua Bengio
ICML
2003
IEEE
14 years 10 months ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
ICSEA
2007
IEEE
14 years 4 months ago
A Novel Framework for Test Domain Reduction using Extended Finite State Machine
Test case generation is an expensive, tedious, and errorprone process in software testing. In this paper, test case generation is accomplished using an Extended Finite State Machi...
Nutchakorn Ngamsaowaros, Peraphon Sophatsathit
SSD
2009
Springer
167views Database» more  SSD 2009»
14 years 4 months ago
Continuous Spatial Authentication
Recent advances in wireless communications and positioning devices have generated a tremendous amount of interest in the continuous monitoring of spatial queries. However, such app...
Stavros Papadopoulos, Yin Yang, Spiridon Bakiras, ...
ICML
2003
IEEE
14 years 3 months ago
The Significance of Temporal-Difference Learning in Self-Play Training TD-Rummy versus EVO-rummy
Reinforcement learning has been used for training game playing agents. The value function for a complex game must be approximated with a continuous function because the number of ...
Clifford Kotnik, Jugal K. Kalita